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Temporary Google Data Science Jobs (NOW HIRING)

Facet

Lead Data Scientist

$180K - $220K/yr

Requirements * 7+ years of experience in a data science or machine learning role * Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

Opus Inspection

Data Analyst Intern

Tucson, AZ · On-site

Currently pursuing or recently completed a degree in Data Science, Statistics, Information ... Familiarity with data visualization tools like Tableau, Power BI, or Google Data Studio.

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How much do temporary google data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for temporary google data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are temporary Google data science jobs?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.

What are the key skills and qualifications needed to thrive as a Temporary Google Data Scientist, and why are they important?

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.
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Lead Data Scientist

Lead Data Scientist

Facet

Remote

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members' entire financial picture-all for an affordable, flat membership fee.
Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek's list of America's Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot "Excellent" score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike.
Why Join the Facet Data Science Team?
  • Diverse Problems: We partner with every team at Facet on cross-departmental initiatives that directly improve the member experience and level up our workflows. Optimization, classical ML, NLP, and LLMs are all on the table. We pick the right tool for the job, not the most familiar one.
  • End-to-End Ownership: You own the data science workflow from problem framing through deployment: scoping, dataset construction, modeling, and delivery. You'll partner closely with engineering and product teams to bring your work into production.
  • Visible impact: Your work shapes decisions across the company. On a team this size, there's a short line between what you build and the value you deliver.

Responsibilities:
As a Staff Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of:
  • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest.
  • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates' code is free from errors, bias, and is easy to understand.
  • Data Engineering: We are a newer team at a growing company, and you'll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure.
  • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization.
  • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications.
  • Continuous Improvement: Data Science is a quickly moving field and you'll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others.

Requirements
  • 7+ years of experience in a data science or machine learning role
  • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc...
  • Proficiency with Python
  • Proficiency with SQL
  • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization
  • Proficiency with end-to-end pipelines
  • Expert knowledge in model evaluation metrics
  • Experience pulling data from various third party systems and APIs
  • Proficiency with version control
  • Proven ability to work both independently and as part of a team
  • Proficiency with visualization in python
  • Familiar with best practices in secure data handling and customer data privacy
  • Proven record of converting business problems to data science solutions

Preferred Experience:
  • Prior experience in the financial planning industry
  • Prior experience in the consumer technology industry
  • Prior experience using containers to produce repeatable and shareable code
  • Prior experience with Natural Language Processing
  • Prior experience with cloud deployment
  • Prior experience with Neural Networks and/or LLMs
  • Prior experience with business optimization

Benefits
  • Competitive Compensation: $180,000 - $220,000 base salary + bonus
  • Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company".
  • Flexibility: Remote-first culture-work from anywhere in the U.S..
  • Time Off: Flexible Paid Time Off (PTO).
  • Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs.

*Facet was ranked #1 Best Financial Advisory Firm 2025 by USA TODAY in April 2025 who partnered with Statista to rank the top 500 RIAs. Recommendations were collected via an independent survey among over 30,000 individuals. self-recommendations were prohibited, and no compensation was provided for the ranking. Facet has been Accredited with the Better Business Bureau® since June 2025, and as of February 2026 holds an A+ BBB Rating. This Accreditation does not imply BBB approval or endorsement. Plant-A Insights Group and Newsweek partnered to identify America's Top Financial Advisory Firms 2025. This analysis was performed with data as of September 2024 and reviewed over 15,000 financial advisories registered with the SEC. These rankings prepared by Plant-A reflect editorial content and no compensation was provided by Facet in connection with America's Top Financial Advisory Firms 2025." As of February 25, 2026; Facet has a 4.8 star rating with TrustPilot.com. TrustPilot uses a formula for calculation that considers three factors: time span, frequency, and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating from 1 to 5 stars, including half stars. Facet's star rating is calculated from reviews from January of 2022 to present day. Daily star rating may fluctuate. Companies on Trustpilot aren't allowed to offer incentives or pay to hide reviews and Facet has not made any payments in offer or receipt of any reviews. Please see additional information

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